Evidence map›Paper›PMID 33785044›Full record

ArticleImmunity & ageing : I & A2021

Hypothetical COVID-19 protection mechanism: hints from centenarians.

Franca Rosa Guerini, Matteo Cesari, Beatrice Arosio

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Centenarians born before 1919 are resistant to COVID-19.Aging clinical and experimental research · 2023
    Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Franca Rosa GueriniIRCCS Fondazione Don Carlo Gnocchi, ONLUS, Milan, Italy.
Matteo CesariGeriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy.
Beatrice ArosioDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy. beatrice.arosio@unimi.it.ORCID http://orcid.org/0000-0002-0615-3580
University of Milan · ITDon Carlo Gnocchi Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of serious complications and the fatality rate due to COVID-19 pandemic have proven particularly higher in older persons, putting a further strain in healthcare system as we dramatically observed.COVID-19 is not exclusively gerophile (géro "old" and philia "love") as young people can be infected, even if older people experience more severe symptoms and mortality due to their greater frailty. Indeed, frailty could complicate the course of COVID-19, much more than the number of years lived. As demonstration, there are centenarians showing remarkable capacity to recover after coronavirus infection.We hypothesize that centenarian's portfolio could help in identifying protective biological mechanisms underlying the coronavirus infection.The human leukocyte antigen (HLA) is one of the major genetic regions associated with human longevity, due to its central role in the development of adaptive immune response and modulation of the individual's response to life threatening diseases. The HLA locus seems to be crucial in influencing susceptibility and severity of COVID-19.In this hypothesis, we assume that the biological process in which HLA are involved may explain some aspects of coronavirus infection in centenarians, although we cannot rule out other biological mechanisms that these extraordinary persons are able to adopt to cope with the infection.

Indexed as

AgingCentenariansCOVID-19FrailtyHLA

Identifiers

PMID33785044
PMCPMC8008020
OpenAlexW3145735180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.